The DNMT1 Target Recognition Domain Resides in the N Terminus
Bibliographic record
Abstract
DNA-cytosine-5-methyltransferase 1 (DNMT1) is the enzyme believed to be responsible for maintaining the epigenetic information encoded by DNA methylation patterns. The target recognition domain of DNMT1, the domain responsible for recognizing hemimethylated CGs, is unknown. However, based on homology with bacterial cytosine DNA methyltransferases it has been postulated that the entire catalytic domain, including the target recognition domain, is localized to 500 amino acids at the C terminus of the protein. The N-terminal domain has been postulated to have a regulatory role, and it has been suggested that the mammalian DNMT1 is a fusion of a prokaryotic methyltransferase and a mammalian DNA-binding protein. Using a combination of in vitro translation of different DNMT1 deletion mutant peptides and a solid-state hemimethylated substrate, we show that the target recognition domain of DNMT1 resides in the N terminus (amino acids 122-417) in proximity to the proliferating cell nuclear antigen binding site. Hemimethylated CGs were not recognized specifically by the postulated catalytic domain. We have previously shown that the hemimethylated substrates utilized here act as DNMT1 antagonists and inhibit DNA replication. Our results now indicate that the DNMT1-PCNA interaction can be disrupted by substrate binding to the DNMT1 N terminus. These results point toward new directions in our understanding of the structure-function of DNMT1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".